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jamescalam
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Upload unsplash-25k-photos.py
Browse files- unsplash-25k-photos.py +62 -0
unsplash-25k-photos.py
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import datasets
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_CITATION = """\
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@InProceedings{huggingface:dataset,
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title = {Unsplash 25K Photos},
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author={James Briggs},
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year={2022}
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}
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"""
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_DESCRIPTION = """\
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This is a dataset that streams photos data from the Unsplash 25K servers.
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"""
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_HOMEPAGE = "https://grouplens.org/datasets/movielens/"
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_LICENSE = ""
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_URL = "https://files.grouplens.org/datasets/movielens/ml-25m.zip"
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class MovieLens(datasets.GeneratorBasedBuilder):
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"""The MovieLens 25M dataset for ratings"""
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"imdb_id": datasets.Value("string"),
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"movie_id": datasets.Value("int32"),
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"user_id": datasets.Value("int32"),
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"rating": datasets.Value("float32"),
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"title": datasets.Value("string"),
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"year": datasets.Value("int32"),
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}
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),
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supervised_keys=None,
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homepage="https://grouplens.org/datasets/movielens/",
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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new_url = dl_manager.download_and_extract(_URL)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={"filepath": new_url+"/photos.tsv000"}
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),
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]
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def _generate_examples(self, filepath):
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"""This function returns the examples in the raw (text) form."""
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with open(filepath, "r") as f:
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id_ = 0
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for line in f:
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if id_ == 0:
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cols = line.split("\t")
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id_ += 1
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else:
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values = line.split("\t")
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print(id_, {cols[i]: values[i] for i in range(len(cols))})
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id_ += 1
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if id_ > 5: break
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